Several intelligent solutions were proposed to evaluate social distancing between people. For instance, Yang et al. described in [1]} a system that sends a multimedia message to alert the crowd when social distancing is disrespected. Fed with a surveillance camera video-stream, their solution localizes pedestrians using a pre-trained conventional object detector. Then, inverse homography transformation is used to map image pedestrians' coordinates with real-world locations and to evaluate distances among them.
Punn et al. adopted in [2]} a similar setting, where they trained a YOLOv3 model alongside DeepSORT to localize detected people in a surveillance camera video-stream. Then, real-world coordinates were estimated using bounding boxes around detected individuals.
